PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
Tytuł artykułu

Knowledge-based functional safety management using ProSIL software

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
In the article the ProSIL software for computer aided functional safety management is presented. The software consists of three modules for the determination of the required SIL level (ProSILen) and verification of the SIL level (ProSILver). In the ProSIL the calibrated knowledge-based risk graph method for determining the required safety integrity level (SIL) of the safety functions identified in hazard analysis is implemented. The SILs are then verified for safety-related control and protection systems implementing relevant functions with regard to random failures and potential systematic failures. The assessment methods are compatible with international standards IEC 61508 and IEC 61511. Some current challenges and methodological issues concerning knowledge-based functional safety management in life cycle are also discussed.
Rocznik
Strony
139--146
Opis fizyczny
Bibliogr. 16 poz., rys.
Twórcy
autor
  • Gdańsk University of Technology, Gdańsk, Poland
autor
  • Gdańsk University of Technology, Gdańsk, Poland
  • Gdańsk University of Technology, Gdańsk, Poland
Bibliografia
  • [1] Barnert, T.& Sliwinski, M. (2007). Methods for verification safety integrity level in control and protection systems. Functional Safety Management in Critical Systems. Fundacja Rozwoju Uniwersytetu Gdanskiego. Gdansk.
  • [2] Barnert, T., Kosmowski, K.T. & Sliwinski, M. (2008). Determining and verifying the safety integrity level of the control and protection systems under uncertainty. Proc. ESREL 2008 European Safety & Reliability Conference, Valencia.
  • [3] Barnert, T., Kosmowski, K.T. & Śliwiński, M. (2009). A knowledge-based approach for functional safety management. Taylor & Francis Group. Proc. European Safety & Reliability Conference ESREL, Prague.
  • [4] Barnert, T., Kosmowski, K.T. & Sliwinski, M. (2010). Integrated functional safety and security analysis of process control and protection systems with regard to uncertainty issue. Proc. PSAM 2010, Seattle.
  • [5] Gruhn, P., Cheddie, H. (2006). Instrumented Systems: Design, Analysis and Justification. ISA – The Instrumentation, Systems and Automation Society.
  • [6] IEC 61508 (2010). Functional Safety of Electrical/ Electronic/ Programmable Electronic Safety-Related Systems, Parts 1-7. International Electrotechnical Commission. Geneva.
  • [7] IEC 61511 (2003). Functional safety: Safety Instrumented Systems for the Process Industry Sector. Parts 1-3. International Electrotechnical Commission, Geneva.
  • [8] IEC 62061 (2005). Safety of machinery – Functional safety of safety-related electrical/ electronic and programmable electronic control systems (E/E/PE). International Electrotechnical Commission.
  • [9] Kosmowski, K.T. (2004). Modelling and uncertainty in system analysis for safety assessment. Proc. of the International Conference on Probabilistic Safety Assessment and Management, PSAM 7 - ESREL ’04, Berlin, Springer.
  • [10] Kosmowski, K.T. (2006). Functional Safety Concept for Hazardous System and New Challenges. Journal of Loss Prevention in the Process Industries 19(1), 298-305.
  • [11] Kosmowski, K.T. (Ed.) (2007). Functional Safety Management in Critical Systems. Gdansk University of Technology. Publishing House OF Gdansk University (Wydawnictwo Fundacji Rozwoju Uniwersytetu Gdańskiego).
  • [12] Kosmowski, K.T., Barnert, T., Śliwiński, M. & Porzeziński, M. (2012). Functional Safety Assessment within the Risk Informed Decision Making Process. Proc. PSAM 11 – ESREL 2012, Helsinki.
  • [13] LOPA (2000). Layer of Protection Analysis, Simplified Process Risk Assessment. American Institute of Chemical Engineers, Center for Chemical Process Safety. New York, 2000
  • [14] SINTEF (2010a). Reliability Prediction Method for Safety Instrumented Systems - PDS Method Handbook.
  • [15] SINTEF (2010b). Reliability Data for Safety Instrumented Systems - PDS Data Handbook.
  • [16] SPAR-H (2005). Human Reliability Analysis Method, NUREG/CR-6883, INL/EXT-05-00509, US NRC.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-8f1953db-ec08-47ef-8ba0-65cb169b4841
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.